Consulting Member of Technical Staff

Oracle Oracle · Enterprise · United States

This role focuses on designing and building scalable platforms, automation, and agentic AI-driven solutions to improve incident management in Oracle Cloud Infrastructure (OCI). The primary goal is to enhance how OCI detects, investigates, mitigates, and learns from service-impacting events, influencing reliability across multiple engineering organizations.

What you'd actually do

  1. Lead agentic and AI-powered solutions that accelerate incident detection, diagnosis, mitigation, and learning.
  2. Design and deliver scalable systems, services, and automation that improve OCI-wide reliability.
  3. Define architectural patterns, engineering standards, and observability practices that improve resiliency and operability.
  4. Lead complex cross-organizational initiatives with broad customer and business impact.
  5. Serve as a technical leader during critical incidents, driving systemic fixes and long-term improvements.

Skills

Required

  • 10+ years of software development experience
  • Strong proficiency in one or more modern languages such as Java, C++, Go, or Python
  • Experience designing and building large-scale distributed or cloud systems
  • Experience with observability, testing, CI/CD, and production operations
  • Strong software engineering fundamentals and architecture skills

Nice to have

  • Experience with incident management, SRE, or cloud operations
  • Experience applying AI, LLMs, or agentic systems to automation workflows
  • Strong communication, leadership, and cross-functional influence
  • Experience mentoring engineers and driving organization-wide technical improvements
  • Experience with OCI or other large-scale cloud platforms

What the JD emphasized

  • agentic AI-driven solutions
  • agentic and AI-powered solutions
  • applying AI, LLMs, or agentic systems to automation workflows

Other signals

  • agentic AI-driven solutions
  • accelerate incident detection, diagnosis, mitigation, and learning
  • applying AI, LLMs, or agentic systems to automation workflows